Most companies have adopted the FAFO Framework for AI security: Fast Adoption, Future Accountability.
The Framework
The FAFO Framework is elegantly simple. Ship AI features as fast as possible. Integrate LLMs into your product. Give customer service teams AI assistants with access to sensitive data. Launch AI-powered features without waiting for security reviews.
Under the FAFO Framework, everyone moves fast. Developers hit their sprint goals. Product teams ship features ahead of competitors. Executives check “AI strategy” off their board presentation.
Until something breaks.
When Things Break
A prompt injection exfiltrates customer data. A jailbreak bypasses your content filters. An AI agent accesses the wrong database.
Then comes the accountability phase.
The board wants answers. Customers demand to know who was responsible. Insurance asks why basic controls weren’t in place.
Was it the exec who mandated AI adoption at all costs? The CISO who couldn’t staff up fast enough? The product manager who prioritized speed over security? The engineer who shipped the feature?
The Alternative
Most people using the FAFO Framework eventually find out.
There’s an alternative: real-time security that enforces policy before damage happens, not after.
Security controls that evaluate every prompt and response. Policy enforcement that catches threats before they reach production. Audit trails that show exactly what happened when something does go wrong.
The kind of security that lets you move fast without the accountability phase.